Artificial Intelligence (AI)

2019 is going to be a very different year than the past few years. 2017 was a "pedal to the metal" year where almost all were making forward momentum with digital. 2018 started strong, but there was a shift to "steady speed" over acceleration. Many economic experts are now predicting a slight dip in growth which means businesses will be hovering their foot above the brake pedal just in case the turmoil in the markets takes a sharp turn. What does this mean for business investment in Digital? This blog will be my best shot at predicting the likely trends.

We are in a perfect storm for making great decisions and nothing less. There are converging forces that put a premium on better decisions in that organizations are being asked for more in a changing world. At the same time the number of assists that are available to boost better decision making are also emerging quickly. What are these forces and boosts to increase an organization's ability to make better at the minimum and great decisions at a maximum? The coming decision wars will be at the forefront of success going forward for organizations and individuals.

History teaches us that there were two large AI Winters in the past. One starting in the mid 1970s and another in the late 1980's There were very clear reasons for the last two AI Winters, but most of the technical and cost issues are gone. The wild card is how humans accept AI this time around. My bet is against another brutal winter. This does not mean there won't be cold snaps, but a 15-20 year freeze out doesn't seem likely now.

The First AI Winter:It was caused by a couple of major factors. The first and foremost was the lack of computer power. The examples that were put forward were "toy" solutions that really did not appeal to the investors at all. This set off a period of infighting about Natural Language Processing (NLP) in the AI community which scared off the investors for a long time.

Businesses from across the globe - both large enterprises and small and medium businesses - want to improve their operations and advance. This is where technology is crucial. Data science and analytics is changing the way we do marketing and has given us many new opportunities for profit, growth and so on.

Big data analytics is enabling enterprises to do many tasks in real time and with ease. This rapid digitalization has given companies many new opportunities and choices.

Global revenues in big data and business analytics has increased from $130 billion to more than $203 billion in the future.

Big data science and analytics include statistics, math and many other mechanisms which enable companies to analyze data and get valuable information from it. The amount of data is increasing with each day.

In the previous article “Integrated Business Management in the Process Age”, I discussed the concepts that will shape businesses in the Process Age. In this article I will discuss how process-oriented concepts and systems engineering practices can be used in a process-oriented engineering methodology.

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In the previous article “Integrated Business Management in the Process Age”, I discussed the concepts that will shape businesses in the Process Age. In this article I will discuss how process-oriented concepts and systems engineering practices can be used in a process-oriented engineering methodology.